CN116186854B

CN116186854B - Method and device for calculating volume rate of land, electronic equipment and storage medium

Info

Publication number: CN116186854B
Application number: CN202310140815.9A
Authority: CN
Inventors: 王萍萍; 伍炜; 胡辰; 隆垚; 张德宇; 樊君健; 王静雅; 王慧慧
Original assignee: Shenzhen Urban Planning And Design Institute Co ltd
Current assignee: Shenzhen Urban Planning And Design Institute Co ltd
Priority date: 2023-02-15
Filing date: 2023-02-15
Publication date: 2023-09-26
Anticipated expiration: 2043-02-15
Also published as: CN116186854A

Abstract

The embodiment of the application provides a land parcel volume rate calculation method and device, electronic equipment and a storage medium, and belongs to the technical field of urban planning. The method comprises the following steps: determining a standard statistical neighborhood, and acquiring target volume rate influence data; constructing an initial volume rate influence model of a standard statistical neighborhood according to the target volume rate influence data; correcting the initial volume rate influence model to obtain a target volume rate influence model; processing according to the target volume rate influence model to obtain a volume rate partition model; determining a target land use type and a target volume rate density level of the land block to be measured according to the volume rate partition model; determining a reference volume rate according to the target land type and the target volume rate density level; acquiring construction data of a land block to be detected, and calculating to obtain a correction coefficient according to the construction data and preset reference data; and obtaining the target volume rate of the land block to be measured according to the reference volume rate and the correction coefficient. The embodiment of the application can improve the accuracy of volume rate calculation.

Description

Method and device for calculating volume rate of land, electronic equipment and storage medium

Technical Field

The present application relates to the field of urban planning technologies, and in particular, to a method and apparatus for calculating a volumetric rate of a land, an electronic device, and a storage medium.

Background

The volume ratio is the ratio of the total building area to the planned building area within the building area.

In the related art, space resource planning and urban land management can be performed more finely based on the capacity ratio. Therefore, how to improve the scientificity of the volumetric ratio calculation and further improve the accuracy of the volumetric ratio calculation is a technical problem to be solved urgently.

Disclosure of Invention

The embodiment of the application mainly aims to provide a method and a device for calculating volumetric rate of a land parcel, electronic equipment and a storage medium, aiming at improving the scientificity of volumetric rate calculation and further improving the accuracy of volumetric rate calculation.

To achieve the above object, a first aspect of an embodiment of the present application provides a method for calculating a volumetric rate of a land, the method including:

determining a standard statistical neighborhood, and acquiring target volume rate influence data;

constructing an initial volume rate influence model of the standard statistical neighborhood according to the target volume rate influence data;

correcting the initial volume rate influence model to obtain a target volume rate influence model;

Carrying out volume rate partitioning treatment according to the target volume rate influence model to obtain a volume rate partitioning model; the volume rate partition model is used for representing the original volume rate density level of the standard statistical neighborhood;

determining a target land use type and a target volume rate density level of the land block to be measured according to the volume rate partition model;

determining a reference volume fraction according to the target land type and the target volume fraction density level;

acquiring construction data of the land block to be detected, and calculating to obtain a correction coefficient according to the construction data and preset reference data;

and calculating the target volume rate of the land block to be measured according to the reference volume rate and the correction coefficient.

In some embodiments, the target volume rate impact data includes a target volume rate impact factor and a weight coefficient for the target volume rate impact factor;

the acquiring target volume fraction influence data includes:

acquiring the current volume rate of the standard statistical neighborhood;

performing correlation calculation on the current volume rate and a preset initial volume rate influence factor to obtain a correlation value;

taking the initial volume rate influence factor with the correlation value larger than a preset correlation threshold value as the target volume rate influence factor;

Normalizing the target volume rate influence factor to obtain a standard regression coefficient;

and calculating the weight coefficient of the target volume rate influence factor according to the standard regression coefficient.

In some embodiments, the target volume rate influencing factor comprises an influencing sub-factor;

the initial volume rate influence model of the standard statistical neighborhood is constructed according to the target volume rate influence data, and the method comprises the following steps:

determining a target area according to the influence sub-factors;

determining the neighborhood category data of the standard statistical neighborhood according to preset influence data and the target area;

calculating to obtain the sample weight of the standard statistical neighborhood according to the preset weight of the influence data, the difference coefficient preset by the influence sub-factors and the neighborhood category data;

calculating according to the sample weight and the weight coefficient to obtain a target weight;

constructing and obtaining an original volume rate influence model according to the target weight and the standard statistical neighborhood;

performing superposition processing on a plurality of original volume rate influence models to obtain an initial volume rate influence model; the initial volume rate influence model comprises a volume rate evaluation category of the standard statistical neighborhood, wherein the volume rate evaluation category is obtained according to the target weight and a preset category threshold.

In some embodiments, the correcting the initial volume rate influence model to obtain a target volume rate influence model includes:

acquiring correction data; the correction data comprises current construction data, regional planning data and environment data;

carrying out correction processing on the volume rate evaluation category of the standard statistical neighborhood according to the correction data;

and carrying out correction processing on the initial volume rate influence model according to the volume rate evaluation category after correction processing to obtain the target volume rate influence model.

In some embodiments, the determining a reference volume fraction from the target land type, the target volume fraction density level, comprises:

acquiring land data of the target land type;

obtaining building reference total amount according to the target land type and the target volume rate density level;

and calculating the reference volume rate according to the land data and the building reference total amount.

In some embodiments, before the calculating the target volume rate of the land to be measured according to the reference volume rate and the correction coefficient, the method further includes:

acquiring land data of the target land type;

Acquiring the total building upper limit according to the target land type and the target volume rate density level;

and calculating according to the land data and the total building upper limit to obtain the upper limit volume rate.

In some embodiments, the calculating the target volume rate of the land to be measured according to the reference volume rate and the correction coefficient includes:

calculating to obtain the initial volume rate of the land block to be measured according to the reference volume rate and the correction coefficient;

if the initial volume rate is less than or equal to the upper limit volume rate, taking the initial volume rate as the target volume rate;

and if the initial volume rate is larger than the upper limit volume rate, taking the upper limit volume rate as the target volume rate.

To achieve the above object, a second aspect of an embodiment of the present application provides a land parcel volume rate calculation apparatus, the apparatus comprising:

the data acquisition module is used for determining a standard statistical neighborhood and acquiring target volume rate influence data;

the model construction module is used for constructing an initial volume rate influence model of the standard statistical neighborhood according to the target volume rate influence data;

the model correction module is used for correcting the initial volume rate influence model to obtain a target volume rate influence model;

The volume rate partition processing module is used for carrying out volume rate partition processing according to the target volume rate influence model to obtain a volume rate partition model; the volume rate partition model is used for representing the original volume rate density level of the standard statistical neighborhood;

the data confirmation module is used for determining the target land use type and the target volume rate density level of the land block to be tested according to the volume rate partition model;

the reference volume rate calculation module is used for determining a reference volume rate according to the target land type and the target volume rate density level;

the correction coefficient calculation module is used for acquiring construction data of the land block to be detected and calculating to obtain a correction coefficient according to the construction data and preset reference data;

and the target volume rate calculation module is used for calculating the target volume rate of the land block to be measured according to the reference volume rate and the correction coefficient.

To achieve the above object, a third aspect of the embodiments of the present application proposes an electronic device, including a memory storing a computer program and a processor implementing the method according to the first aspect when the processor executes the computer program.

To achieve the above object, a fourth aspect of the embodiments of the present application proposes a computer-readable storage medium storing a computer program which, when executed by a processor, implements the method of the first aspect.

According to the method and device for calculating the volume rate of the land, the electronic equipment and the storage medium, the initial volume rate influence model of the standard statistical neighborhood is built through the target volume rate influence data, and the initial volume rate influence model is corrected to obtain the target volume rate influence module which better accords with the current development situation of the preset neighborhood volume rate. And obtaining a volume rate partition model according to the target volume rate influence model, and determining the reference volume rate of the land to be tested through the volume rate partition model. And correcting the reference volume rate through the correction coefficient to obtain the target volume rate of the land to be measured. Therefore, the embodiment of the application can correct the volume rate according to the current state of the volume rate development of the preset neighborhood and the actual condition of the land to be measured, thereby improving the scientificity of volume rate calculation and further improving the accuracy of volume rate calculation.

Drawings

FIG. 1 is a flow chart of a method for calculating volumetric rate of a plot according to an embodiment of the present application;

FIG. 2 is another flow chart of a method for calculating volumetric rate of a plot provided by an embodiment of the present application;

FIG. 3 is a schematic illustration of an initial volume fraction influence model according to an embodiment of the application;

FIG. 4 is another flowchart of a method for calculating a volumetric rate of a plot provided by an embodiment of the present application;

FIG. 5 is a schematic diagram of road traffic condition sample weights according to an embodiment of the present application;

FIG. 6 is another flowchart of a method for calculating a volumetric rate of a plot provided by an embodiment of the present application;

FIG. 7 is a schematic diagram of a volumetric partitioning model according to an embodiment of the present application;

FIG. 8 is another flowchart of a method for calculating a volumetric rate of a plot provided by an embodiment of the present application;

FIG. 9 is another flowchart of a method for calculating a volumetric rate of a plot provided by an embodiment of the present application;

FIG. 10 is another flowchart of a method for calculating a volumetric rate of a plot provided by an embodiment of the present application;

FIGS. 11A to 11C are diagrams showing correction factor correlation according to embodiments of the present application;

fig. 12A to 12D are schematic diagrams showing the correlation of road condition correction coefficients according to an embodiment of the present application;

FIG. 13 is a schematic diagram of a block capacity rate calculation device according to an embodiment of the present application;

fig. 14 is a schematic hardware structure of an electronic device according to an embodiment of the present application.

Detailed Description

The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

It should be noted that although functional block division is performed in a device diagram and a logic sequence is shown in a flowchart, in some cases, the steps shown or described may be performed in a different order than the block division in the device, or in the flowchart. The terms first, second and the like in the description and in the claims and in the above-described figures, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the application only and is not intended to be limiting of the application.

First, several nouns involved in the present application are parsed:

standard statistics of neighborhood: is determined according to the division of the urban fifteen-minute life circle, the wholesale urban overall planning and the like. For example, there are 1052 blocks for the center city of city A and 287 blocks for a city of city B.

In the embodiments of the present application, when related processing is performed according to data such as land parcel rate information, road information, environmental information, building information, etc., permission or agreement of the related institution is obtained first, and the collection, use, processing, etc. of the data complies with related laws and regulations and standards of the related country and region.

In the related art, the volume rate is a core quantization index and means for urban space resource overall and land use fine management. Therefore, how to improve the scientificity of the volumetric ratio calculation and further improve the accuracy of the volumetric ratio calculation is a technical problem to be solved urgently.

Based on the above, the embodiment of the application provides a method and a device for calculating the volume rate of a land parcel, electronic equipment and a storage medium, so as to improve the accuracy of volume rate calculation.

Fig. 1 is an optional flowchart of a method for calculating a volume fraction of a land area according to an embodiment of the present application, where the method in fig. 1 may include, but is not limited to, steps S101 to S108.

S101, determining a standard statistical neighborhood, and acquiring target volume rate influence data;

step S102, constructing an initial volume rate influence model of a standard statistical neighborhood according to target volume rate influence data;

step S103, correcting the initial volume rate influence model to obtain a target volume rate influence model;

step S104, carrying out volumetric rate partition processing according to the target volumetric rate influence model to obtain a volumetric rate partition model; the volume rate partition model is used for representing the original volume rate density level of the standard statistical neighborhood;

Step S105, determining a target land use type and a target volume rate density level of the land block to be measured according to the volume rate partition model;

step S106, determining a reference volume rate according to the type of the target land and the density level of the target volume rate;

step S107, acquiring construction data of a land block to be detected, and calculating to obtain a correction coefficient according to the construction data and preset reference data;

and S108, calculating according to the reference volume rate and the correction coefficient to obtain the target volume rate of the land block to be measured.

In the steps S101 to S108 shown in the embodiment of the present application, an initial volume rate influence model of a standard statistical neighborhood is constructed according to target volume rate influence data, and the initial volume rate influence model is corrected to obtain a target volume rate influence module that better meets the preset neighborhood volume rate development requirement. And obtaining a volume rate partition model according to the target volume rate influence model, and determining the reference volume rate of the land to be tested through the volume rate partition model. And correcting the reference volume rate through the correction coefficient to obtain the target volume rate of the land to be measured. Therefore, the embodiment of the application can correct the volume rate according to the volume rate development requirement of the preset neighborhood and the actual condition of the land block to be measured, thereby improving the scientificity of volume rate calculation and further improving the accuracy of volume rate calculation.

In step S101 of some embodiments, the city to be measured where the block to be measured is located is subjected to neighborhood division in advance according to the city fifteen-minute living circle, the wholesale city overall plan, and the like, so as to determine the standard statistical neighborhood. And acquiring target volume influence data influencing the standard statistical neighborhood volume rate of the city to be measured.

Referring to fig. 2, in some embodiments, the target volume rate impact data includes a target volume rate impact factor and a weighting coefficient for the target volume rate impact factor. The "acquiring the target volume rate influence data" in step S101 includes, but is not limited to, including steps S201 to S205.

Step S201, obtaining the current volume rate of a standard statistical neighborhood;

step S202, performing correlation calculation on the current volume rate and a preset initial volume rate influence factor to obtain a correlation value;

step S203, taking an initial volume rate influence factor with a correlation value larger than a preset correlation threshold value as a target volume rate influence factor;

step S204, carrying out normalization processing on the target volume rate influence factors to obtain standard regression coefficients;

step S205, calculating according to the standard regression coefficient to obtain the weight coefficient of the target volume rate influence factor.

In steps S201 to S202 of some embodiments, the current volume rate of the standard statistical neighborhood is obtained by means of a related AP I interface or the like, and an average value of the current volume rates is calculated to obtain an average volume rate of the city to be measured. And carrying out correlation analysis on the average volume rate and a preset initial volume rate influence factor according to methods such as SPSS and the like to obtain a corresponding correlation value. For example, four initial volume rate influencing factors including a service area location condition, a road traffic condition, a public traffic condition, a landscape environmental condition, etc. are preset. And respectively taking the data corresponding to the four initial volume rate influence factors as independent variables, taking the average volume rate as the dependent variable, and calculating to obtain four related values.

In step S203 of some embodiments, a plurality of initial volume rate influencing factors are filtered according to a preset correlation threshold. And eliminating the initial volume rate influence factors with the correlation values smaller than or equal to the correlation threshold values, and taking the remaining initial volume rate influence factors as target volume rate influence factors. I.e. the target volume fraction influencing factor is the main factor influencing the average volume fraction of the city to be measured.

In step S204 of some embodiments, since different target volume fraction influence factors may have different dimensions, the target volume fraction influence factors are normalized to eliminate the influence of the different dimensions.

In step S205 of some embodiments, a standard regression coefficient calculated by the SPSS for each target volume rate influence factor is used as a weight coefficient corresponding to the target volume rate influence factor. Assuming that the city to be measured comprises four target volume rate influence factors of a service area location condition, a road traffic condition, a public traffic condition and a landscape environment condition, and standard regression coefficients corresponding to the four target volume rate influence factors are 0.261, 0.103, 0.259 and 0.037 respectively, a weight coefficient A1 corresponding to the service area location condition is calculated according to the following formula (1), a weight coefficient A2 corresponding to the road traffic condition is calculated according to the following formula (2), a weight coefficient A3 corresponding to the public traffic condition is calculated according to the following formula (3), and a landscape environment condition A4 is calculated according to the following formula (4).

A1 =0.261/(0.261+0.103+0.259+0.037) =0.396

A2 =0.103/(0.261+0.103+0.259+0.037) =0.156

A3 =0.259/(0.261+0.103+0.259+0.037) =0.392

A4 =0.037/(0.261+0.103+0.259+0.037) =0.055

In step S102 of some embodiments, an impact score of each standard statistical neighborhood in the city to be measured is calculated according to the target volume fraction impact data, and a volume fraction evaluation category of each standard statistical neighborhood is determined according to the impact score and a preset category threshold. For example, taking the example where the target volume rate impact data includes road traffic conditions, the more convenient the standard statistical neighborhood for road traffic, the higher its volume rate. Therefore, the influence scores of the standard statistical blocks can be obtained through calculation according to the road traffic conditions, and the corresponding standard statistical blocks are determined to be in one of the five preset volume rate evaluation categories, namely good, general, poor and poor, according to the influence scores and the preset category threshold. And carrying out identification processing on the corresponding standard statistical neighborhood according to the volume rate evaluation category to obtain an initial volume rate influence model shown in fig. 3. Each block area in fig. 3 represents a standard statistical neighborhood, i.e., the initial volume fraction influence model is a model constructed by taking the standard statistical neighborhood as a unit. Wherein, the identification processing comprises processing modes such as color, label and the like for distinguishing different volume rate evaluation categories.

Referring to fig. 4, in some embodiments, the target volume rate influencing factor includes influencing sub-factors, and step S102 includes, but is not limited to including, steps S401 through S406.

Step S401, determining a target area according to the influence sub-factors;

step S402, determining the neighborhood category data of standard statistical neighborhood according to preset influence data and a target area;

step S403, calculating to obtain the sample weight of the standard statistical neighborhood according to the preset weight of the influence data, the difference coefficient preset by the influence sub-factors and the neighborhood category data;

step S404, calculating according to the sample weight and the weight coefficient to obtain a target weight;

step S405, constructing and obtaining an original volume rate influence model according to the target weight and the standard statistical neighborhood;

step S406, performing superposition processing on a plurality of original volume rate influence models to obtain an initial volume rate influence model; the initial volume rate influence model comprises a volume rate evaluation class of standard statistics neighborhood, wherein the volume rate evaluation class is obtained according to target weight and a preset class threshold.

It should be noted that, the target capacity rate influencing factors further include influencing sub-factors, for example, the service area location condition includes two influencing sub-factors of a city comprehensive center and a group center; the road traffic condition comprises road network line density as an influencing sub-factor; public transportation conditions include a bus stop density as an influencing sub-factor; the landscape environmental conditions include four influencing sub-factors, namely, a distance from a municipal park, a distance from a community park, a distance from a main water system and a distance from a tributary water system.

In step S401 of some embodiments, an area corresponding to the influencing sub-factor in the city to be measured is taken as a target area. Hereinafter, a method for determining a target area when the target volume rate influence factor is used as a service area location condition, a road traffic condition, a public traffic condition, or a landscape environment condition, respectively, will be described.

First, a description will be given of a service area location condition. The service location condition is used for representing economic aggregation degree, service convenience degree, land income condition and the like of the corresponding region. The service area location condition determines a service center according to city overall planning data, other related planning data, current situation data and the like, and the service center comprises a city comprehensive center and a group center. Therefore, the region belonging to the city comprehensive center and the group center in the region to be measured is taken as the target region. Specifically, a public service center, a public service auxiliary center and a control region center of the city to be measured, which are determined according to the city overall planning data, are used as target areas corresponding to the city comprehensive center, and a group level public service center and a region auxiliary center, which are determined according to the city overall planning data and other relevant planning data, are used as target areas corresponding to the group center.

Next, road traffic conditions will be described. The passenger transportation lines on the urban main road are concentrated, so that the more the number of the standard statistical neighborhood main roads is, the better the standard statistical neighborhood motor transportation accessibility is, and the larger the opening potential of the standard statistical neighborhood is. The road class reflects the road capacity, and the planned road is classified into a primary reachable road, a secondary reachable road and a general road according to the road class. Wherein the trunk road is a first-level reachable road; the expressway and the secondary trunk road are two-level reachable roads; the roads other than the first-level reachable road and the second-level reachable road are general roads. Therefore, when the target influence factor is road traffic condition, the target area in the city to be measured is determined according to the primary reachable road, the secondary reachable road and the general road along a certain distance. It is understood that road traffic conditions include three influencing sub-factors, primary reachable road, secondary reachable road, and general road.

Again, public transportation conditions will be described. Public transportation conditions include four influencing sub-factors of BRT sites, general subway (or light rail) sites, subway (or light rail) transfer sites and urban transportation hubs. Therefore, four areas which influence the periphery of the sub factors and have a certain radiation range in the city to be measured, which belong to BRT stations, general subway (or light rail) stations, subway (or light rail) transfer stations and city transportation hubs, are used as target areas.

Finally, the environmental condition of the landscape is explained. It will be appreciated that land prices directly facing landscape resources such as rivers, public greenbelts, etc. tend to be high, resulting in higher power for high volume rate development. Therefore, a city park, a community park, a main water system, a tributary water system, and a region around the city to be measured with a certain distance are set as target regions.

In step S402 of some embodiments, the standard statistical neighborhood volume rate is more affected by the corresponding influencing sub-factors due to the standard statistical neighborhood being closer to the target region. Therefore, the standard statistical neighborhood around the target area is divided according to the preset influence data and the target area, so that neighborhood category data of each standard statistical neighborhood around is determined. It will be appreciated that the impact data is set according to the basis of the assignment of the target impact factor.

For example, the service location condition is based on a standard statistical neighborhood that is closer to the walking distance of the target area, i.e., based on the assigned basis of walking distance and bus distance, and the greater the influence of the service location condition on the standard statistical neighborhood volume rate. That is, the greater the development potential of the standard statistical neighborhood, the higher the capacity rate that the standard statistical neighborhood can be built. Mapping the standard statistical neighborhood with corresponding neighborhood category data, wherein the neighborhood category data is used for reflecting the possibility that the corresponding standard statistical neighborhood is built into a higher volume rate. The impact data corresponding to the service area location condition includes 10 minute walk distance, 10 minute bus distance and others. The neighborhood category data of the standard statistical neighborhood is determined according to the distance relation between the standard statistical neighborhood and the nearest service center, which of the 10-minute walking distance, the 10-minute transportation distance of the bus and the other distance relation. The service center comprises a city comprehensive center and a group center.

The road traffic condition takes the road grade adjacent to the target area as a valuation basis, namely, the higher the grade of the target area with better road traffic condition is, the larger the influence of the road traffic condition on the neighborhood volume rate is. The influence data corresponding to the road traffic condition comprises that the road in the standard statistical neighborhood 250 m range is a primary reachable road, the road in the standard statistical neighborhood 250 m range is a secondary reachable road, and the road in the standard statistical neighborhood 250 m range is a general road. Namely, determining the neighborhood category data of the standard statistical neighborhood according to which one of the primary reachable road, the secondary reachable road and the general road the road within the 250-meter range of the standard statistical neighborhood belongs to.

The public transportation condition takes the distance between the target area and the public transportation site as a valuation basis, namely, the standard statistics of the neighborhood which is closer to the public transportation site is that the neighborhood volume rate is more influenced by the public transportation condition. The impact data corresponding to the public transportation condition comprises a radiation radius range of 0-300 meters, a radiation radius range of 300-500 meters, a radiation radius range of 500-800 meters and other radiation radius ranges. The standard statistical neighborhood is determined by determining which of the radiation radius ranges of the standard statistical neighborhood is respectively in the range of 0-300 meters, the radiation radius range of 300-500 meters, the radiation radius range of 500-800 meters and the other radiation radius ranges with the nearest BRT site, the common subway (or light rail) site, the subway (or light rail) transfer site and the urban transportation junction.

The landscape environmental condition is based on assignment of the distance between the target area and the landscape resource, namely, the smaller the distance is, the standard statistics is performed on the neighborhood, and the larger the influence of the neighborhood volume rate landscape environmental condition is. The influence data corresponding to the landscape environmental conditions comprises a distance range of 0-100 meters, a distance range of 100-500 meters, a distance range of 500-800 meters and other distance ranges. And determining the neighborhood category data of the standard statistical neighborhood by determining the distance between the standard statistical neighborhood and the nearest city park, community park, main water system and branch water system, which belongs to the range of 0-100 meters, the range of 100-500 meters, the range of 500-800 meters and other ranges.

In step S403 of some embodiments, different preset weights are also preset for different influence data, and when the target volume rate influence factor includes a plurality of influence sub-factors, there should be an influence difference between the different influence sub-factors. For example, for service center conditions, the city synthesis center affects the volume rate of standard statistical neighborhood to a greater extent than the group center. And thus the coefficient of difference of the urban comprehensive center is greater than that of the group center. Specifically, the sample weights shown in the following tables 1 to 3 are calculated according to the preset weights of the influence data and the difference coefficients preset by the influence sub-factors.

Table 1:

for example, according to table 1, when a group center of a standard statistical neighborhood closest to a city to be measured is a bus for 10 minutes, and the standard statistical neighborhood is inside a center of a city comprehensive center closest to the city to be measured, the sample weight of the standard statistical neighborhood=0.5×2+1×4=5.

Table 2:

it will be appreciated that table 2 is a sample weight corresponding to when the target volume fraction impact factor is a public transportation condition.

Table 3:

it will be appreciated that table 3 is a sample weight corresponding to when the target volumetric rate impact factor is a landscape environmental condition.

Further, for road traffic conditions, sample weights may be determined with reference to fig. 5. The preset weight of the road in the standard statistical neighborhood 250 m range as the first-level reachable road 501 is set to be 3, the preset weight of the road in the standard statistical neighborhood 250 m range as the second-level reachable road 502 is set to be 2, and the preset weight of the road in the standard statistical neighborhood 250 m range as the general road 503 is set to be 1. Taking the standard statistical neighborhood C shown in fig. 5 as an example, the nearest target area in the range of the standard statistical neighborhood C250 includes a first-level reachable road, a second-level reachable road and a general road, and at this time, the first-level reachable road is taken as a standard, that is, the sample weight of the standard statistical neighborhood C is 3. It will be appreciated that since cities typically have a bus stop distance of 500 meters, the sample weights are determined from a 250 meter range. According to actual needs, 250 meters can be adaptively modified, and the embodiment of the application is not particularly limited.

In step S404 of some embodiments, a target weight of the influence of the corresponding target influence factor on the standard statistical neighborhood volume rate is calculated according to the sample weight and the weight coefficient of the corresponding target volume rate influence factor.

In step S405 of some embodiments, the target weights are converted into impact scores that reflect the difference in the degree to which the volume rate of the standard statistical neighborhood can be developed. And determining the volume rate evaluation category of the corresponding standard statistical neighborhood according to the influence score and the preset category threshold. For example, five volume rate evaluation categories are set, good, general, poor, and bad, wherein the standard statistical neighborhood that is good for representing the corresponding has a large development potential, i.e., the standard statistical neighborhood can be built to be a higher volume rate. And marking the corresponding standard statistical neighborhood according to the volume rate evaluation category to obtain an original volume rate influence model.

In step S406 of some embodiments, it may be understood that there are different original volume rate influence models corresponding to different target volume rate influence factors, so when four target volume rate influence factors including a service area location condition, a road traffic condition, a public traffic condition, a landscape environment condition are included, four original volume rate influence models will be constructed according to the above method. And carrying out superposition processing on the four volume rate influence models to obtain an initial volume rate influence model for reflecting the overall volume rate development potential of the city to be tested.

In step S103 of some embodiments, the initial volume rate influence model constructed only by the target volume influence data is liable to be different from the actual situation due to the complexity of the city current construction conditions, planning conditions, natural landscape conditions, and the like. Therefore, the initial volume rate influence model is corrected according to the actual situation, and the target volume rate influence model with higher accuracy is obtained. For example, for some standard statistical blocks, it is better to determine the volume rate evaluation interval of the standard statistical block according to the initial volume rate influence model, but the volume rate evaluation category of the standard statistical block should be good according to the actual situation. Therefore, the identification of the standard statistical neighborhood in the initial volume rate influence model is corrected to be a good identification, and the target volume rate influence model is obtained.

Referring to fig. 6, in some embodiments, step S103 includes, but is not limited to including, step S601 to step S603.

Step S601, obtaining correction data; the correction data comprises current construction data, regional planning data and environment data;

step S602, carrying out correction processing on the volume rate evaluation category of the standard statistical neighborhood according to the correction data;

And step S603, carrying out correction processing on the initial volume rate influence model according to the volume rate evaluation category after the correction processing, and obtaining a target volume rate influence model.

In step S601 of some embodiments, correction data such as current construction data, area planning data, environmental data, etc. of the city to be measured are obtained according to the related AP I interface, etc. The current construction data comprise standard statistical neighborhood data with explicit development intention, the regional planning data comprise road, corridor and water system planning data, and the environment data comprise airport height limit area data, historical protection area data, integrated stock development data and the like.

In step S602 of some embodiments, since the correction data reflects the current situation and the planning situation of each standard statistical neighborhood, the volume rate evaluation category of the standard statistical neighborhood is corrected according to the correction data, so as to improve the calculation accuracy of the volume rate of the standard statistical neighborhood.

In step S603 of some embodiments, the volume rate evaluation category of the corresponding target preset neighborhood in the initial volume rate influence model is updated according to the corrected volume rate evaluation category, so as to obtain a target volume rate influence model.

In step S104 of some embodiments, a final volume rate evaluation class of each standard statistical neighborhood is determined according to the target volume rate influence model obtained after the correction processing, and the volume rate evaluation class is mapped with a preset original volume rate density level, for example, the preset original volume rate density level includes a volume rate level i, a volume rate level ii, a volume rate level iii, a volume rate level iv, and a volume rate level v. The volume rate evaluation category is mapped with the volume rate I level, the volume rate evaluation category is mapped with the volume rate II level, the volume rate evaluation category is mapped with the volume rate III level, the volume rate evaluation category is mapped with the volume rate IV level, and the volume rate evaluation category is mapped with the volume rate V level. And carrying out volume rate partitioning treatment on the initial volume rate influence model according to the mapping relation, thereby obtaining a volume rate partitioning model shown in fig. 7.

Specifically, the standard statistical neighborhood corresponding to the volume rate I grade representation is located in a city main center or a secondary center with developed part, and belongs to a high-density development type. The standard statistical neighborhood corresponding to the volume rate II grade representation is positioned in a city auxiliary center or a part of highly developed group center, and belongs to the middle-high density development type. The standard statistical neighborhood corresponding to the volume rate III grade characterization is positioned in the center of the urban group or in a part of highly developed general area, and belongs to the medium density development type. The volume ratio IV represents that the corresponding standard statistical neighborhood is positioned in a common urban area or a plateau-ground transition area of the urban edge, and the standard statistical neighborhood belongs to a medium-low density development type. The standard statistical neighborhood corresponding to the volume ratio V-class characterization is located in an urban edge area or an ecological area close to a surrounding mountain, and belongs to a low-density development type.

In step S105 of some embodiments, a block to be measured for which the volumetric rate calculation is to be performed is determined, and it is understood that the block to be measured is a block included in a standard statistical neighborhood in the volumetric rate partition model. Four original land types of commercial land, living land, industrial land and logistics storage land are preset, and the original land type matched with the land to be measured is taken as the target land type. And determining which of the volume rate I, the volume rate II, the volume rate III, the volume rate IV and the volume rate V the block to be measured is in through the volume rate partition model, thereby determining the target volume rate density level.

In step S106 of some embodiments, the reference volume rate is used to characterize the specific volume rate values corresponding to different land types in different raw volume rate density levels. It will be appreciated that the reference volume fraction is the same for plots to be tested that are of the target land type as other land types if they are in the same target volume fraction density level.

Referring to fig. 8, in some embodiments, step S106 includes, but is not limited to including, step S801 to step S803.

Step S801, land data of a target land type is acquired;

Step S802, acquiring the building reference total amount according to the type of the target land and the density level of the target volume rate;

and step 803, calculating the reference volume rate according to the land data and the building reference total amount.

In step S801 of some embodiments, a land block with all land types of the volumetric rate partition model as target land types is acquired according to a related AP I interface or the like, and the land block is taken as an initial land block. Land data of the original plot is acquired, wherein the land data comprises relevant data for calculating the volume rate, e.g. comprising land scale data.

In step S802 of some embodiments, a land type in the volumetric rate partition model is determined to be a target land type, and a land block having an original volumetric rate density level equal to the target volumetric rate density level is taken as a candidate land block, and a building reference total amount of the candidate land block is acquired. The building reference total amount can be calculated according to the methods of the compiled control detailed planning data, the environment bottom line standard data, the population-residential building relation and the like.

Specifically, the method for calculating the building benchmark total amount according to the compiled control detailed planning data is to sum the building quantity indexes of the candidate land parcels.

The method for calculating the standard data according to the environmental bottom line is that the total building reference amount=the total building amount of the candidate land block of the built area+the total building amount of the candidate land block of the non-built area, and the total building amount of the candidate land block of the non-built area can be estimated and determined by referring to the general development intensity of other similar areas.

The method of calculation according to the population-residential building relationship is that the total building reference amount= (population scale × person average residential area)/the ratio of the total residential building amount to the total building amount of the candidate land block in the controlled detailed plan.

The average value calculated by the method is taken as the final building standard total amount.

In step S803 of some embodiments, the reference volume rate = building reference total/land data.

Referring to fig. 9, in some embodiments, steps S901 through S903 are also included, but are not limited to, prior to step S108.

Step S901, acquiring land data of a target land type;

step S902, acquiring the total building upper limit according to the type of the target land and the density level of the target volume rate;

and step 903, calculating the upper limit volume rate according to the land data and the total building upper limit.

In step S901 of some embodiments, according to the related AP I interface or the like, a land block with all land types in the volumetric rate partition model as target land types is acquired, and the land block is taken as an initial land block. Land data of the original plot is acquired, wherein the land data comprises relevant data for calculating the volume rate, e.g. comprising land scale data.

In step S902 of some embodiments, a land type in the volumetric rate partition model is determined as a target land type, and a land block whose original volumetric rate density level is equal to the target volumetric rate density level is taken as a candidate land block, and the total building upper limit of the candidate land block is obtained. The total building upper limit amount can be calculated according to the methods of the compiled control detailed planning data, the environment bottom line standard data, the population-residential building relation and the like.

Specifically, the calculation method according to the compiled control detailed planning data is to calculate the total building upper limit by adding the building quantity indexes of the candidate land parcels.

The method for calculating the standard data according to the environmental ground line is that the total building limit total amount=the total building amount of the candidate land block of the built area+the total building amount of the candidate land block of the non-built area, and the total building amount of the candidate land block of the non-built area can be estimated and determined by referring to the general development intensity of other similar areas.

The calculation method according to the population-residential building relation is that the total building upper limit is = (population scale is the occupied area of people per person)/the proportion of the total residential building in the controlled detailed plan to the total building of the candidate land block.

The maximum value calculated by the method is taken as the final total building upper limit.

In step S803 of some embodiments, the upper limit volume rate = building upper limit total amount/land data.

For example, the reference volume rate and the upper limit volume rate shown in table 7 below can be calculated from the land scale data shown in table 4 below, the building reference total amount shown in table 5 below, and the building upper limit total amount shown in table 6 below.

Table 4:

table 5:

table 6:

table 7:

it will be appreciated that in tables 4 to 7, for convenience of explanation, the industrial sites and the logistics warehouse sites are collectively calculated.

In steps S107 to S108 of some embodiments, when the land block is oversized, the density of the town road is reduced, and the traffic pressure of the area where the land block is located is increased. And when the land block is too small in scale, the burden of traffic organization and the difficulty of opening traffic entrances and exits are increased. In addition, traffic conditions and public transportation can also influence the volume rate of the land to be tested. Therefore, the reference volume rate is further corrected according to the specific construction data of the land to be measured, that is, a correction coefficient for correction is calculated according to the construction data of the land to be measured and the preset reference data, and then the reference volume rate is corrected according to the correction coefficient, so that the real volume rate of the land to be measured, that is, the target volume rate is obtained.

Referring to fig. 10, in some embodiments, step S108 includes, but is not limited to including, step S1001 through step S1003.

Step S1001, calculating to obtain an initial volume rate of the land block to be measured according to the reference volume rate and the correction coefficient;

step S1002, if the initial volume rate is smaller than or equal to the upper limit volume rate, the initial volume rate is taken as a target volume rate;

in step S1003, if the initial volume rate is greater than the upper limit volume rate, the upper limit volume rate is set as the target volume rate.

In steps S1001 to S1003 of some embodiments, the reference volume fraction is corrected according to the correction coefficient, so as to obtain the initial volume fraction of the land block to be measured. It will be appreciated that since the upper volume fraction is used to characterize the maximum volume fraction of all plots having the same conditions as the plot under test. Wherein, the same condition means that the type of land and the evaluation category of the volume ratio are the same. Therefore, the initial volume rate is also constrained according to the upper limit volume rate. When the initial volume rate is smaller than or equal to the upper limit volume rate, the initial volume rate is used as the target volume rate of the land block to be measured; and when the initial volume rate is larger than the upper limit volume rate, taking the upper limit volume rate as the target volume rate of the land block to be measured.

Specifically, taking construction data including land area, road conditions, public transportation conditions and the like of a land parcel to be detected as examples, and correction coefficients including land parcel size correction coefficient Y1, road condition correction coefficient Y2 and public transportation condition correction coefficient Y3, calculating to obtain an initial volume rate of the land parcel to be detected according to the following formula (1).

Initial volume ratio = reference volume ratio (1-Y1) (1+y2) (1+y3.) formula (1)

The determination of the block size correction coefficient Y1, the road condition correction coefficient Y2, and the public transportation condition correction coefficient Y3 will be specifically described below. It is understood that the preset reference data includes reference land area data, road area, public transportation influence data, and the like, corresponding to different correction coefficients.

First, the block size correction coefficient Y1 will be described. And acquiring the areas of the plots of the land types in the cities corresponding to the volume rate partition model according to the related AP I interface, sequencing the areas of the plots belonging to the land types of the same type, filtering out the area data of 5% before sequencing and 5% after sequencing, carrying out average value processing on the remaining area data, and taking the average value result as the reference plot area data of the plots of the land types of the type.

When the land area of the land to be measured is larger than the corresponding reference land area data, the phenomenon that the land to be measured occupies the traffic area is shown, and therefore the building quantity of the occupied area needs to be compensated. Specifically, according to the relevant road design specifications, the width of the large city branch road with the population size of more than 200 ten thousand is 15 to 30 meters. Referring to fig. 11A, in the embodiment of the present application, the width of the branch is 22.5 meters as an example. Assuming that the reference land is square, the area of the reference land is the reference land area data S calculated according to the method, and the area of the land to be measured is 2S. From this calculationThe correction coefficient of the reference volume rate of the land block to be measured>

When the land area of the land to be measured is smaller than the corresponding reference land area data, the area actually available for construction is reduced due to the standard requirements of line withdrawal, sanitation, fire prevention and the like of the building. At this time, the volume ratio of the land to be measured needs to be reduced under the condition that the building height of the land to be measured is unchanged. Specifically, referring to fig. 11B, the theoretical calculation takes a minimum of 6 meters according to the regulations of the associated building refund floor boundary. Assuming that the reference land is square, the area of the reference land is the reference land area data S, and the area of the land to be measured is S/2. Therefore, the reference volume rate land mass size correction coefficient of the land mass to be measured

If the target land type of the land block to be measured is a residential land, the area of the land block to be measured is larger than the corresponding reference land block area data, and according to the planning and design standard of the residential area of the related city, the ratio of the population scale of the five-minute living circle to the population scale of the residential neighborhood is about 4:1, namely, 4 residential neighborhood should be included in one five-minute living circle. If a resident neighborhood meets the standard of five-minute life circle, city branches must be opened for the neighborhood. At this time, the amount of construction generated by the use of the neighborhood is required to be reduced. Specifically, referring to fig. 11C, assuming that the reference land is square, the area of the reference land is the reference land area data S. According to the related road design specifications, the width of branches of large cities with population sizes greater than 200 ten thousand is 15 to 30 meters, and in the embodiment of the application, the width of the branches is 22.5 meters. If the area of the land to be measured is 4S, the reference volume rate land size correction coefficient of the land to be measured/>

Assuming that the block size correction coefficient Y1 changes linearly with the area X of the block to be measured, when the area X of the block to be measured is greater than the reference block area data S, the block size correction coefficient

Assuming that the area X of the land parcel to be measured of the land parcel size correction coefficient Y1 changes linearly, and when the area of the land parcel to be measured is smaller than the reference land parcel area data S, the land parcel size correction coefficient

If the target land type of the land to be measured is a residential land, the land size correction coefficient Y1 is assumed to linearly change with the area X of the land to be measured, and when the area X of the land to be measured is greater than the reference land area data S, the land size correction coefficient

According to the calculation formula of the block size correction coefficient Y1, when the area X of the block to be measured is increased by 1 square meter compared with the reference block area data S, the block size correction coefficient Y1 is correspondingly increasedWhen the area X of the land block to be measured is reduced by 1 square meter compared with the reference land block area data S, the land block size correction coefficient Y1 is correspondingly increased +.>Wherein, for the land to be measured with the target land type being the residential land, when the area X of the land to be measured is increased by 1 square meter compared with the reference land area data S, the land size correction coefficient Y1 is correspondingly increased ∈>

It will be appreciated that in actual processing, hectare (ten thousand square meters) is often used as a unit of area data, so that the embodiment of the application is to simplify the rule, maintain the coefficient accuracy of 0.1 hectare (thousand square meters) and round up the corresponding coefficients.

Next, the road condition correction coefficient Y2 will be described. The road condition correction includes correction of one, two, three, four adjacent roads. One road is shown in fig. 12A, and the road adjacent to the land block to be measured comprises one road; the two roads are shown in fig. 12B, which means that the roads adjacent to the land block to be measured comprise two roads; the three roads are shown in fig. 12C, which means that the roads adjacent to the land block to be measured include three roads; the four roads are shown in fig. 12D, which means that the roads adjacent to the land block to be measured include four roads. It will be appreciated that the greater the number of roads adjacent to a local parcel, the more advantageous the parcel's traffic conditions, and correspondingly the higher the volumetric rate level. Because the volume rate partition model takes the standard statistical neighborhood as a unit, the influence of urban traffic on the volume rate of each land in the standard statistical neighborhood is not considered, i.e. the volume rate obtained by taking the standard statistical neighborhood as a unit is lower than the actual volume rate of the land. Therefore, when calculating the actual volume rate of the land, the volume rate should be corrected according to the road conditions around the land.

Specifically, the plots may be divided into a class a plot (as shown in fig. 12A), a class B plot (as shown in fig. 12B), a class C plot (as shown in fig. 12C), and a class D plot (as shown in fig. 12D) according to the number of adjacent roads of the plots. Since the land is adjacent to at least one road, the road condition correction process is not performed for the reference volume ratio of the class a land. And for the second-class land parcel, the third-class land parcel and the fourth-class land parcel, the road area occupies a part of the constructable land parcel, and the road area of the part contributes to the volume ratio of the land parcel to be measured, so that the volume ratio correction of the road condition is required for the land parcel to be measured belonging to the three kinds of land parcel.

As shown in fig. 12B to 12D, assuming that the reference land is square and the area of the land to be measured is the reference land area data S, the road condition correction coefficient y2=the contributed road area/(the contributed road area+s). According to the related road design specifications, the width of branches of large cities with population sizes greater than 200 ten thousand is 15 to 30 meters, and in the embodiment of the application, the width of the branches is 22.5 meters. Class B plots Block of type CT-shaped block->

Finally, the public transportation condition correction coefficient Y3 will be described. It will be appreciated that the more public traffic adjacent a local plot, the more superior traffic conditions for that plot, and correspondingly the higher the volumetric rate level. Because the volume rate partition model takes the standard statistical neighborhood as a unit, the influence of public traffic on the volume rate of each land in the standard statistical neighborhood is not considered, namely, the volume rate obtained by taking the standard statistical neighborhood as a unit is lower than the actual volume rate of the land. Therefore, when calculating the actual volume rate of the land, the volume rate should also be corrected according to the public transportation conditions around the land.

Specifically, the public transportation condition correction coefficientWhere Ji represents the volume rate of the land block having the public transportation location, ki represents the volume rate of the land block having no public transportation location, and the land block corresponding to Ji has the same target volume rate influence data as the land block corresponding to Ki. And correcting the reference volume rate of the land parcel to be measured around four public transportation classes, namely a BRT site, a land parcel (or light rail) site, a subway (or light rail) transfer site and an urban transportation junction. And specific numerical values of Ji and Ki in the ranges of 0-300 meters, 300-500 meters and 500-800 meters are required to be exhausted under the influence data of different target volume rates so as to calculate and obtain the public transportation condition correction coefficient Y3. In addition, if the land parcel to be measured is outside the influence range of the urban transportation junction and is in the range commonly influenced by the BRT site, the land parcel (or light rail) site and the subway (or light rail) transfer site, the actual public transportation condition correction coefficient Y3 should be the maximum value of correction coefficients Y3 corresponding to the BRT site, the land parcel (or light rail) site and the subway (or light rail) transfer site. If the land block to be measured is within the influence range of the urban transportation junction and is also at the BRT station or the land block (or the light rail) stationAnd in the range of the joint influence of the points and the subway (or light rail) transfer stations, the actual public transportation condition correction coefficient Y3 is the superposition of the maximum value of the correction coefficients Y3 corresponding to the BRT stations, the land block (or light rail) stations and the subway (or light rail) transfer stations and the correction coefficient Y3 corresponding to the urban transportation junction.

It is assumed that the data acquired according to the volumetric rate partition model and the related AP I interface may obtain reference land area data corresponding to different land types as shown in table 8 below.

Table 8:

original land type	Datum land area data	Maximum value of land area	Minimum value of land area
				Commercial land	1.6 hectare	8.1 hectare	0.2 hectare
Residence land	3 hectare	5.0 hectare	0.2 hectare
				Industrial land	12 hectare	18.3 hectare	1.0 hectare
Logistics storage land	10 hectare	25.0 hectare	1.0 hectare

Assuming that the target influence factors and sample weights of the predicted cities are shown in tables 1 to 3 above, the block size correction coefficient Y1 is correspondingly increased when the area X of the block to be measured of the target land type commercial land is increased by 1.6 hectare per 1 square meter compared with the reference block area data according to the above descriptionWhen the area X of the land to be measured of the type of the target land for business land is reduced by 1.6 hectare per 1 square meter compared with the reference land area data, the land size correction coefficient Y1 is increased correspondingly +.>From this, it can be seen that, every 1 hectare of the land to be measured of the commercial land is added to the target land type, the initial volume rate of the land to be measured is reduced by 5.56% on the basis of the reference volume rate, and the actual operation is rounded to 6%; of commercial plots that were not 5% filtered, the largest plot was about 8.1 hectares, with a calculated maximum reduction of 36%. Every 1 hectare of the area of the land to be measured is reduced, the initial volume rate is reduced by 13.1% on the basis of the reference volume rate, and the actual operation is rounded to 13%; of commercial plots that were not 5% filtered, the smallest plot was about 0.2 hectare, with a calculated maximum reduction of 18%.

Thus, for a parcel to be tested whose target parcel type is a commercial parcel, parcel size correction factor Y1 may be reduced to:

when the area of the land to be measured is larger than the area data of the reference land, the correction coefficient is calculated by 0.006 per 0.1 hectare exceeding the area data of the reference land and calculated in an accumulated manner, less than 0.1 hectare is corrected by 0.1 hectare, and the maximum value is smaller than or equal to 0.36. When the area of the land to be measured is smaller than the area data of the reference land, the correction coefficient is calculated by 0.013 per 0.1 hectare according to the land use scale and calculated in an accumulated manner, less than 0.1 hectare is corrected by 0.1 hectare, and the maximum value is smaller than or equal to 0.18.

When the area X of the land to be measured with the target land type being the living land is increased by 1 square meter compared with the reference land area data of 3 hectares, the land size correction coefficient Y1 is correspondingly increasedWhen the area X of the land to be measured of the target land type is 1 square meter smaller than the reference land area data of 3 hectares, the land size correction coefficient is correspondingly increasedFrom the above, it can be seen that, every 1 hectare of the land to be measured is added for the target land type, the initial volume rate of the land to be measured is reduced by 1.52% on the basis of the reference volume rate, and 2% is taken in actual operation; of the residential plots that were not 5% filtered, the largest plot was approximately 5.0 hectares, with a calculated maximum reduction of 30%. The type of the target land is that each 1 hectare of the land to be measured of the residential land is reduced, the initial volume rate of the land to be measured is reduced by 4.96% on the basis of the reference volume rate, and the actual operation is rounded to be 5%; of the plots of residential land that were not 5% filtered, the smallest plot was about 0.2 hectare, with a calculated maximum reduction of 14%.

Therefore, for a block to be measured whose target land type is a residential land, the block size correction coefficient Y1 can be reduced to:

when the area of the land to be measured is larger than the reference land area data, the land size correction coefficient Y1 is calculated according to the area exceeding the reference land area data by 0.002 per 0.1 hectare and calculated in an accumulated manner, less than 0.1 hectare is corrected according to 0.1 hectare, and the maximum value is smaller than or equal to 0.30. When the area of the land to be measured is smaller than the reference land area data, the land size correction coefficient Y1 is calculated according to the area smaller than 0.1 hectare of the reference land area data and calculated in an accumulated mode, the area smaller than 0.1 hectare is corrected according to the area smaller than 0.1 hectare, and the maximum value is smaller than or equal to 0.14.

When the area X of the land to be measured of the target land type is the industrial land and the reference land area data are increased by 1 square meter each time, the land size correction coefficient Y1 is correspondingly increasedWhen the area X of the land to be measured of the target land type is reduced by 1 square meter compared with the reference land area data of 12 hectares, the land size correction coefficient Y1 is correspondingly increased

Thus, for a parcel to be tested whose target parcel type is an industrial parcel, parcel size correction factor Y1 may be reduced to:

when the area of the land to be measured is larger than the reference land area data, the land size correction coefficient Y1 is calculated according to each 0.1 hectare exceeding the reference land area data and calculated in an accumulated manner, less than 0.1 hectare is corrected according to 0.1 hectare, and the maximum value is smaller than or equal to 0.02. When the area of the land to be measured is smaller than the reference land area data, the land size correction coefficient Y1 is calculated according to the area smaller than 0.0006 of each 0.1 hectare of the reference land area data and calculated in an accumulated mode, the area smaller than 0.1 hectare is corrected according to the area smaller than 0.1 hectare, and the maximum value is smaller than or equal to 0.07.

When the target land type is that the area X of the land to be measured of the logistics storage land is increased by 1 square meter compared with the reference land area data of 10 hectare, the land size correction coefficient Y1 is correspondingly increasedWhen the area X of the land to be measured of the target land type is logistics storage land and the area data of the land to be measured is reduced by 1 square meter compared with the reference land area data by 10 hectares, the land size correction coefficient Y1 is correspondingly increased +.>

Therefore, for the land to be measured for which the target land type is the logistics storage land, the land size correction coefficient Y1 can be simplified as:

when the area of the land to be measured is larger than the reference land area data, the land size correction coefficient Y1 is calculated according to each 0.1 hectare exceeding the reference land area data and calculated in an accumulated manner, less than 0.1 hectare is corrected according to 0.1 hectare, and the maximum value is smaller than or equal to 0.05. When the area of the land to be measured is smaller than the reference land area data, the land size correction coefficient Y1 is calculated according to the area smaller than 0.0008 of each 0.1 hectare of the reference land area data and calculated in an accumulated mode, the area smaller than 0.1 hectare is corrected according to the area smaller than 0.1 hectare, and the maximum value is smaller than or equal to 0.07.

Similarly, the road condition correction coefficient Y2 corresponding to different destination types can be simplified as:

commercial land: b, setting the road condition correction coefficient Y2 of the class B land block as 0.08; the correction coefficient Y2 of the road condition of the class-C land parcels is 0.16; the correction coefficient Y2 of the road condition of the block is 0.22.

Living land: b, the road condition correction coefficient Y2 of the class B land parcels is 0.06; the correction coefficient Y2 of the road condition of the class-C land parcels is 0.12; the correction coefficient Y2 of the road condition of the block is 0.17.

Industrial field: b, setting the road condition correction coefficient Y2 of the class B land block as 0.03; the correction coefficient Y2 of the road condition of the class-C land parcels is 0.06; the correction coefficient Y2 of the road condition of the block is 0.08.

Logistics storage land: b, setting the road condition correction coefficient Y2 of the class B land block as 0.03; the correction coefficient Y2 of the road condition of the class-C land parcels is 0.06; the correction coefficient Y2 of the road condition of the block is 0.09.

Further, assuming that the target influence factors and sample weights of the predicted cities are shown in the above tables 1 to 3, the public transportation condition correction coefficient Y3 can be simplified to be shown in the following table 9 according to the above description.

Table 9:

in one specific embodiment, the target land type of the land parcel to be measured is a commercial land, and the target bulk density level is a bulk density level I. In the city to be measured, the commercial land of the volume rate class I corresponds to a reference volume rate of 4.10 and an upper limit volume rate of 6.00. The area of the land block to be detected is assumed to be 1.50 hectares, the land block is a T-shaped land block, and the distance between the land block and two general subway stations is 300 meters and 400 meters respectively, so that the influence of urban transportation hubs, subway transfer stations and BRT stations is avoided. Then, according to the initial volume rate calculation method shown in the formula (1) and the above description, the block size correction coefficient y1=0.013, the road condition correction coefficient y2=0.22, and the public transportation condition correction coefficient y3=0.362 of the block to be measured, the initial volume rate calculation result is 6.724. Because the initial volume rate is larger than the upper limit volume rate, the target volume rate of the land block to be measured is 6.00.

According to the plot volume rate calculation method provided by the embodiment of the application, the volume rate partition model construction method which is fit for city planning to be measured and the calculation method of the plot target volume rate to be measured are provided by determining the target volume rate influence data for the standard statistics of the current volume rate of the neighborhood. And, three correction modes for the reference volume rate are provided for specific commercial land, living land, industrial land and logistics storage land, including land size correction, road condition correction and public transportation correction. The plot volume rate calculation method provided by the embodiment of the application establishes the rational relation between the macroscopic urban space resource allocation and the microscopic land intensity management, thereby improving the accuracy of plot volume rate calculation to be measured, further effectively guiding the more scientific space resource overall planning of the city to be measured, promoting the finer land management of the city to be measured, and avoiding the problems of insufficient rationality, repeated regulation, disjoint with upper planning and the like frequently occurring in the process of controlling detailed planning and programming.

Referring to fig. 13, the embodiment of the present application further provides a device for calculating a volumetric rate of a land, which can implement the method for calculating volumetric rate of a land, where the device includes:

The data acquisition module 1301 is used for determining a standard statistical neighborhood and acquiring target volume rate influence data;

the model construction module 1302 is configured to construct an initial volume rate influence model of the standard statistical neighborhood according to the target volume rate influence data;

the model correction module 1303 is used for correcting the initial volume rate influence model to obtain a target volume rate influence model;

the volume rate partition processing module 1304 is configured to perform volume rate partition processing according to the target volume rate influence model, so as to obtain a volume rate partition model; the volume rate partition model is used for representing the original volume rate density level of the standard statistical neighborhood;

the data confirmation module 1305 is used for determining a target land type and a target volume rate density level of the land block to be tested according to the volume rate partition model;

a reference volume rate calculation module 1306 for determining a reference volume rate according to the target land type and the target volume rate density level;

the correction coefficient calculation module 1307 is configured to obtain construction data of a land block to be measured, and calculate a correction coefficient according to the construction data and preset reference data;

the target volume rate calculation module 1308 is configured to calculate a target volume rate of the land block to be measured according to the reference volume rate and the correction coefficient.

The specific implementation of the volumetric rate calculation device is basically the same as the specific embodiment of the volumetric rate calculation method, and will not be described herein.

The embodiment of the application also provides electronic equipment, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the method for calculating the volume rate of the land parcel when executing the computer program. The electronic equipment can be any intelligent terminal including a tablet personal computer, a vehicle-mounted computer and the like.

Referring to fig. 14, fig. 14 illustrates a hardware structure of an electronic device according to another embodiment, the electronic device includes:

the processor 1401 may be implemented by a general-purpose CPU (Centra l Process I ngUn it ), a microprocessor, an application specific integrated circuit (App l I cat I onSpec I f I C I ntegratedCi rcu it, AS ic), or one or more integrated circuits, etc., and is configured to execute related programs to implement the technical scheme provided by the embodiments of the present application;

the memory 1402 may be implemented in the form of a Read Only Memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RandomAccessMemory, RAM). Memory 1402 may store an operating system and other application programs, and when the technical solutions provided in the embodiments of the present disclosure are implemented in software or firmware, relevant program codes are stored in memory 1402 and are called by processor 1401 to perform the block capacity rate calculation method of the embodiments of the present disclosure;

An input/output interface 1403 for implementing information input and output;

the communication interface 1404 is configured to implement communication interaction between the present device and other devices, and may implement communication in a wired manner (e.g. USB, network cable, etc.), or may implement communication in a wireless manner (e.g. mobile network, WI FI, bluetooth, etc.);

bus 1405) for transferring information between components of the device (e.g., processor 1401, memory 1402, input/output interface 1403, and communication interface 1404);

wherein processor 1401, memory 1402, input/output interface 1403 and communication interface 1404 enable communication connections between each other within the device via bus 1405.

The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program which realizes the method for calculating the volume rate of the land parcel when being executed by a processor.

The memory, as a non-transitory computer readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer executable programs. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory remotely located relative to the processor, the remote memory being connectable to the processor through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The embodiments described in the embodiments of the present application are for more clearly describing the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application, and those skilled in the art can know that, with the evolution of technology and the appearance of new application scenarios, the technical solutions provided by the embodiments of the present application are equally applicable to similar technical problems.

It will be appreciated by persons skilled in the art that the embodiments of the application are not limited by the illustrations, and that more or fewer steps than those shown may be included, or certain steps may be combined, or different steps may be included.

The above described apparatus embodiments are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, i.e. may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

Those of ordinary skill in the art will appreciate that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof.

The terms "first," "second," "third," "fourth," and the like in the description of the application and in the above figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

It should be understood that in the present application, "at least one (item)" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the above-described division of units is merely a logical function division, and there may be another division manner in actual implementation, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including multiple instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-On-y Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing a program.

The preferred embodiments of the present application have been described above with reference to the accompanying drawings, and are not thereby limiting the scope of the claims of the embodiments of the present application. Any modifications, equivalent substitutions and improvements made by those skilled in the art without departing from the scope and spirit of the embodiments of the present application shall fall within the scope of the claims of the embodiments of the present application.

Claims

1. A method for calculating a volumetric rate of a plot, the method comprising:

calculating the target volume rate of the land block to be measured according to the reference volume rate and the correction coefficient;

wherein the target volume rate influence data comprises a target volume rate influence factor and a weight coefficient of the target volume rate influence factor, and the target volume rate influence factor comprises an influence sub-factor;

The constructing an initial volume rate influence model of the standard statistical neighborhood according to the target volume rate influence data comprises the following steps:

determining a target area according to the influence sub-factors;

2. The method of claim 1, wherein the acquiring target volume fraction influence data comprises:

acquiring the current volume rate of the standard statistical neighborhood;

3. The method of claim 1, wherein the modifying the initial volumetric rate-effect model to obtain a target volumetric rate-effect model comprises:

4. The method of claim 1, wherein said determining a reference volume rate from said target land type, said target volume rate density level, comprises:

Acquiring land data of the target land type;

5. The method of claim 1, wherein prior to said calculating a target volume rate for the parcel to be measured based on the reference volume rate and the correction factor, the method further comprises:

acquiring land data of the target land type;

6. The method according to claim 5, wherein calculating the target volume rate of the land parcel to be measured according to the reference volume rate and the correction coefficient comprises:

7. A plot volumetric rate calculation apparatus, the apparatus comprising:

the target volume rate calculation module is used for calculating the target volume rate of the land block to be measured according to the reference volume rate and the correction coefficient;

determining a target area according to the influence sub-factors;

8. An electronic device comprising a memory storing a computer program and a processor implementing the method of any of claims 1 to 6 when the computer program is executed by the processor.

9. A computer readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the method of any one of claims 1 to 6.